[ StockWhiz ] : An analysis environment for stocks, back testing, quantitative strategies, portfolio optimizations

[savakarrohan]

StockWhiz is a trading terminal coupled with a social media application. Aiming to provide traders the necessary tools to analyze and execute their trades.

This is an appreciation post for pymc with a request for help, if StockWhiz falls in your cup of tea.

YouTubeShowcase.mp4

YouTube Video : https://youtu.be/mMPHJnn8D9Y?si=CUeentT9dd1pwIOz

Motivation

Backtesting and stock analysis is a crucial part of trading journey, in order to back test, one requires to have the respective packages installed, knowledge of coding and stock data. This is complex and a wide number of companies are attempting to address this problem by providing zero code interfaces to retail people.

To make an effort in this direction I started with StockWhiz. Initially I used to conduct analysis for myself, and then I fell on Pyodide and JupyterLite. I went ahead and built StockWhiz the pyodide backed backtesting engine.

Implementation

StockWhiz has some salient features that are matched by only 3 other terminals worldwide. StockWhiz is built on Pyodide, The Jupyter ecosystem & Google's Blockly. The interface is simple and can be integrated on to any brokerage's charting library. It displays Buy/Sell signatures generated and important statistics for confidence of a trader.

I think implementing Pyodide is the perfect solution for this problem of analysis of stocks.
Why?

• The financial markets are places with massive amounts of data,
• python is ideal for quickly crunching data and providing analysis,
• pyodide brings it at a single link.

StockWhiz does the exact same, a platform for stock analysis at the click of a single link.

Benefits

Technical

• Reduces cost by at least 4x (Current estimates, my gut says much much more.)
• Providing as a single package(file) to brokerages
• A complete analysis platform within 24mb

Business

• Unlimited backtests
  • All competitors run on a coupon-based system as they use cloud computing and thus have to balance pricing with features
• Breaking a monopoly
  • TradingView is the global leader for back testing, amongst others but they keep this part of their platform proprietary to themselves
• Scaling
  • Being able to provide it as a single JavaScript package allows integration with Brokerage platforms within a week, providing scale at ease.

Introducing myself

I @savakarrohan am a 24 year Bachelor's graduate of Mechanical from Indian Institute of Technology Dharwad and built StockWhiz from the ground up on top of open source packages. I have been devoted full time to StockWhiz since the past 6 months, while the coding journey started much earlier.
You can reach out on LinkedIn or email me at savakarrohan@stockwhiz.in

Images

[ricardoV94]

Hi @savakarrohan,

Thanks for sharing. I missed what is the help request?